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Arcana retired from the Rime cloud API on August 15, 2026. Cloud requests that set modelId to arcana, arcanav2, or arcanav3 are now served by Coda. Replace those identifiers with coda so your configuration names the model that serves the request.
Check every voice before changing production traffic. Coda has a different voice catalog. A request can return audio even when the speaker, modelId, and lang combination is not listed, so a successful response does not prove that the pairing is supported.

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Find every Arcana identifier

Search your code, configuration files, environment variables, and deployed environments for all three retired identifiers:
Requests that omit modelId are served by Mist v3. They do not use Coda automatically. No response header names the model that served a request. Record the environments and call sites you inspect because the response cannot confirm that you removed every Arcana identifier.

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Check the replacement voice and language

Search the Coda catalog for each speaker you use.
  • If the same speaker exists on Coda, keep the name and test it with your production text. Coda and Arcana were trained separately, so the audio will differ.
  • If the speaker is absent, choose a replacement in the same language. Compare candidates on domain terms, numbers, and long utterances rather than a generic greeting.
  • Set lang to the language listed for the Coda voice. Each Coda voice serves one language.
Coda serves English, Arabic, Dutch, French, German, Hindi, Italian, Japanese, Portuguese, and Spanish through the cloud API. Coda WebSocket v1 returns word timestamps in English, French, German, Italian, Portuguese, and Spanish.

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Update and verify the request

Change modelId to coda. The endpoint, authentication, transports, and remaining request fields do not change.
Verify every environment, language, and transport you use. HTTP, binary WebSockets, and JSON WebSockets are separate request paths, so one successful request does not cover the others.

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Replace unsupported on-prem images

Existing Arcana on-prem images remain available to pull, but Rime no longer updates or supports them. This includes security patches and text-normalization fixes. Use a current Coda image for supported on-prem deployments, and contact help@rime.ai to plan the replacement. The Rime models hosted by Together AI use Together’s lifecycle and endpoints. Follow the Together AI integration guide if you run Arcana there.
  • Coda voices: find a supported speaker and language.
  • Models: review Coda’s features and deployment options.
  • On-prem quickstart: deploy the current Coda image.
  • Speed: use timeScaleFactor for Coda speed control.